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Multi-criteria decision analysis approach for strategy scale-up with application to Chagas disease management in Bolivia

Author

Listed:
  • Maria-Jesus Pinazo
  • Ainize Cidoncha
  • Gurram Gopal
  • Silvia Moriana
  • Ruth Saravia
  • Faustino Torrico
  • Joaquim Gascon

Abstract

Objective: Design and build a strategy construction and evaluation software system to help stakeholders to develop viable strategies to expand (and adapt) the Chagas Platform healthcare model through the primary healthcare system in Bolivia. Methods: The software was built based on a ranking of medical Interventions and Actions (needed to support Interventions’ implementation) needed for comprehensive management of Chagas Disease in Bolivia. The ranking was performed using a Multi Criteria Decision Analysis (MCDA) methodology adapted to the WHO’s building blocks framework. Data regarding the criteria and the rankings was obtained through surveys and interviews with health care professionals working on Chagas disease. The Analytical Hierarchy Process was used to construct the decision criteria weights. Data Envelopment Analysis was used to identify the Interventions that lay on the efficiency frontier of outcomes and the complexity of associated Actions. These techniques were combined with integer programing tools using the open-source software R to build a decision-making tool to assess the outcomes and complexity of any combination of Interventions and Actions. This model and tool were applied to data concerning the care of Chagas disease in Bolivia collected through surveys of experts. The tool works by loading the data from each specific context. Results: The initial set of Interventions and Actions recommended after analysis of the survey data was further refined through face-to-face interviews with field experts in Bolivia, resulting in a strategy of 18 Interventions and 15 Actions. Within the WHO model the Leadership and Governance building block came up as the one needing more support with Actions such as the inclusion of Chagas into Annual Municipal Operational Plans by appointing local and provincial coordinators. Conclusion: This project established the suitability of the model for constructing healthcare strategies. The model could be developed further resulting in a decision-making tool for program managers in a wide range of healthcare related issues, including neglected and/ or prevalent diseases. The tool has the potential to be used at different stages of decision making by diverse stakeholders in order to coordinate activities needed to address a health problem. Author summary: This manuscript presents a strategy construction tool to generate viable strategies to expand the Chagas platforms for healthcare pilot through the primary healthcare system in Bolivia. Relevance of this work resides in the need for performing a rational planification to address Neglected Diseases in low- and middle-income countries, by prioritizing Interventions and Actions. After gathering and loading the data from each specific context and problem, policy makers can use the tool for construction or evaluation of strategies using the WHO Building Block model. The main comparative advantage is that the model does not only include the identification and evaluation of Interventions for the comprehensive care of Chagas, but also includes the necessary activities in the health system to support the large-scale implementation of them. The tool has the potential to be used at different stages of decision making to coordinate activities to address a health problem. The tool could be adapted for its use in other neglected and/ or prevalent diseases or in other locations.

Suggested Citation

  • Maria-Jesus Pinazo & Ainize Cidoncha & Gurram Gopal & Silvia Moriana & Ruth Saravia & Faustino Torrico & Joaquim Gascon, 2021. "Multi-criteria decision analysis approach for strategy scale-up with application to Chagas disease management in Bolivia," PLOS Neglected Tropical Diseases, Public Library of Science, vol. 15(3), pages 1-14, March.
  • Handle: RePEc:plo:pntd00:0009249
    DOI: 10.1371/journal.pntd.0009249
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    1. William W. Cooper & Lawrence M. Seiford & Kaoru Tone, 2006. "Introduction to Data Envelopment Analysis and Its Uses," Springer Books, Springer, number 978-0-387-29122-2, June.
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